A new approach to speech quality assessment based on back-propagation neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86097971" target="_blank" >RIV/61989100:27240/16:86097971 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A new approach to speech quality assessment based on back-propagation neural networks
Original language description
The paper deals with modelling network effects on the quality of speech. The packet loss modelling is based on the fourstate markov chain, afterwards, the resilient back-propagation (Rprop) algorithm is applied to train a neural network. The proposed solution allows for quick and precise speech quality estimation without the need to analyze the voice signal carried and belongs to the non-intrusive models of speech quality assessment. The proposed solution is tested on G.711 A-law and further generalizes the already presented concepts of the speech quality estimation in the IP environment.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INTERNATIONAL JOURNAL of CIRCUITS, SYSTEMS and SIGNAL PROCESSING
ISSN
1998-4464
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
Neuveden
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
52-61
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84957017651